Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN-LSTM model with explainable AI. [PDF]
Abdelhady G, Hussein KW, Gad IAA.
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Malware and Anti-Malware: A Comprehensive Review
With the explosive growth of digital connectivity and the professionalization of cybercrime, malware attacks have become one of the most persistent and sophisticated cybersecurity threats. This landscape now ranges from traditional viruses and worms to complex ransomware-as-a-service (RaaS) syndicates and advanced persistent threats (APTs).
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Neuro-evolutionary computing approach for an epidemic model of ransomware detection using morlet wavelet neural network with meta-heuristic optimization. [PDF]
Khan ZUA +5 more
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Cyber Offending Among Young People: an Analysis of the Correlates for Different Categories of Cyber-Dependent Offending Using the Triple Risk Delinquency Framework. [PDF]
Weulen Kranenbarg M, Gonzalez-Garcia A.
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OmBNNet: a resource-efficient FPGA-based obfuscated malware detection method using binarized neural network. [PDF]
Das K +3 more
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YATSIDroid: an android malware detection framework based on artificial immune system. [PDF]
Mahindru A +6 more
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Federated ConvNeXt-swin temporal fusion network for malware and botnet detection in IoT systems. [PDF]
Alsubaei FS, Almazroi AA, Ayub N.
europepmc +1 more source
A deep learning-based IoT malware detection approach for electric vehicle charging stations. [PDF]
Xia L, Chen Y, Han L.
europepmc +1 more source
Advanced behavioral malware detection: a comprehensive MLOps framework with federated learning and real-time drift detection. [PDF]
El-Hajj M, Zeineddine MAJ.
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A Study on Malware and Malware Detection Techniques [PDF]
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